Corvelle Drives Concepts to Completion How Project Management is Shaping the Future Of Visual...

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Corvelle Drives Concepts to Completion

How Project Management is Shaping the Future Of Visual Analytics

Yogi SchulzBiography

Partner in Corvelle Consulting Information technology related management

consulting IT World Canada & Microsoft columnist Industry presenter:– Project World - 6 years– PMI – SAC - 4+ years– PMI - Information Systems SIG - 2 years– PPDM Association - several years

WTI Oil Prices - Last 8 Years

Back to the Future

Digital Oil FieldSurvey

Upstream companies struggle managing information for analytical purposes

Data stored in applications in nonstandard formats

Data trapped within organizational silos Real-time data is managed independently Progress in analytics requires action across

multiple organizational silos

Data Volumes Growing every Year

End-users Love Visual Analytics Output

Vendor Demo Risk

• Expert in product• Skilled presenter• Showcases software• Rehearsed dialogue• Perfect data• Blazingly fast

performance

Future Success with Visual AnalyticsProject managementKnowledge of the business

Data managementData quality

DBMSVisual analytics software

Project Management

Don’ts:– Let the technologists run away with the project– Allow a stakeholder to claim project is easy– Invest in a detailed project plan

Do’s:– Deliver often– Expect people change management– Plan for a software release upgrade

People

Knowledge of the Business

Don’ts:– Think you understand the business– Believe IS business analyst understands the

business Do’s:– Include a business analyst from the business– Engage the end-users weekly

People

Producing PropertyProfitability Analysis

Any chance you can give mebetter project management

for my visual analytics projects instead?

How do project managerscombat unrealistic expectations?

A. Diplomatically educate on effort requiredB. Demo new capabilities annuallyC. Constantly communicate goals & benefitsD. Agree with those who claim project is easyE. Coach project sponsor to communicate F. Attend few meetings with vendors

People

Data Management

Don’ts:– Believe application management is good enough– Think data integration is sufficient

Do’s:– Plan to strengthen data management– Build data management capability

Process

Data Quality

Don’ts:– Think data quality is good enough– Assume data stewards will undertake work

Do’s:– Plan to improve data quality– Develop visualizations for the data stewards – Build data stewardship capability

Process

What is well downtimecosting your company?

LostProduction

ActualProduction

Analytics in theworld of Dilbert

You need a visualway to track your

key metrics.

How do project managersrespond to scope creep?

A. Accept all additional scope proposalsB. Sarcastically reject all scope proposalsC. Evaluate scope proposalsD. Defer all scope proposals to the next releaseE. Remove scope for every scope proposal

approvedF. Insist all scope proposals be approved by

project steering committee

Process

Database ManagementSystem (DBMS)

Don’ts:– Let IT acquire more ETL toys– Move or restructure data– Let the purist build an elegant technical solution

Do’s:– Decide if DBMS upgrade is required– Expect to require a dedicated DBA

Technology

Visual AnalyticsSoftware

Don’ts:– Let data scientists acquire more analytic toys– Make solution excessively sophisticated

Do’s:– Decide if additional software is required– Expect to require a dedicated developer

Technology

Optimizing Frac Design

Moreproduction

Big Data Analyticsin Dilbert’s world

How do project managersexplain visual analytics?

A. Displaying data as pretty picturesB. Using overly complex terms as a way of

charging more for software licensesC. Representing data for analysis and insights in

ways that resonateD. Over-analyzing data to avoid reaching any

actionable conclusionsE. Using a superior alternative to Excel

Technology

Conclusions

Competent project management produces project success

Visual analytics is a valuable technology Visual analytics projects entail risks

QuestionableAnalysis Goals

Recommendations

Mitigate common project risks:– Ultra-high expectations– Uneven data management– Inadequate project staffing– Insufficient data quality

Avoid over-investing in technology:– DBMS & ETL– Data warehouse– Visualization development software

Questions &Discussion

Can you help us project manage visual analytics?Please

fill outevaluation

How Project Management is Shaping the Future Of Visual Analytics

Corvelle Consulting300, 400 - 5 Ave. S. W.Calgary, Alberta T2P 0L6Phone: (403) 249-5255E-mail: YogiSchulz@corvelle.comWeb: www.corvelle.com

Yogi SchulzPartner of Corvelle ConsultingInformation technology related

management consultingMicrosoft Canada columnist & CBC

Radio hostIndustry presenterFormer PPDM Association board

member

Corvelle Bibliography - 1

Business Intelligence – experiencing more hype than value?– http://www.corvelle.com/business-intelligence-experiencing-

more-hype-than-value Do you need big data for big results?

– http://www.corvelle.com/do-you-need-big-data-for-big-results/

How advanced BI tools are delivering self-service analytics– http://www.corvelle.com/how-advanced-bi-tools-are-deliveri

ng-self-service-analytics/ How to be a winning project manager: Manage up and

out– http://www.corvelle.com/resources/articles/it-world-canada/

how-to-be-a-winning-project-manager-manage-up-and-out/

Corvelle Bibliography - 2

Is big data success eluding you?– http://www.corvelle.com/is-big-data-success-elu

ding-you/ Is data modelling really dead?

– http://www.corvelle.com/is-data-modelling-really-dead/

Loser project managers manage down and in– http://www.corvelle.com/resources/articles/it-w

orld-canada/loser-project-managers-manage-down-and-in/

Why you need visual analytics– http://www.corvelle.com/resources/articles/it-w

orld-canada/why-you-need-visual-analytics

Bibliography - 1

3 business challenges faced when adopting big data analytics on an open source platform– http://

www.itworldcanada.com/article/solving-big-data-problems-on-an-open-source-platform-depends-on-these-3-business-challenges/377440

Big data vendors look to simplify tools and processes for average enterprise user– http://

www.itworldcanada.com/article/big-data-vendors-look-to-simplify-tools-and-processes-for-average-enterprise-user/377407

Digitizing oil and gas production– Automation is an important answer to the industry’s upstream challenges.– by Stefano Martinotti, Jim Nolten, and Jens Arne Steinsbø , August 2014

McKinsey– http://

www.mckinsey.com/insights/energy_resources_materials/digitizing_oil_and_gas_production

Bibliography - 2

The Five Big Myths of Big Data with Rick van der Lans– https://www.youtube.com/watch?v=W1VZhjTDL_U&index=8&list=

PLwUPJvR9mZHgToruyAKF01QVT7xDWiarl Getting started with Big Data & Analytics: What you need to

know– http://www.itworldcanada.com/assets/getting-started-with-big-dat

a-analytics-what-you-need-to-know Large oil and gas producer. Better control over big data

generates huge cost savings and new business insights– http://

www.itworldcanada.com/assets/large-oil-and-gas-producer-better-control-over-big-data-generates-huge-cost-savings-and-new-business-insights

Spotfire and IHS Data - The Acquisition Template and Well Data Conduit– http://www.blueriveranalytics.com/webinars/

Oil & Gas Data WarehouseContext Diagram

MonthlyProprietarywell data

MonthlyPublic

well data

Data warehouse

DailyProduction

MonthlyFinancial

MonthlyPublic

Frac data

MonthlyCAPEX

Forecastdata

Visual Analytics ApplicationContext Diagram

Data warehouse

Visual Analyticsapplication

Graphs Tables ExportsReports

VA appSummary

VA appConfiguration

VA appUpdate

Value of Visual Analytics

Make data-driven decisions “very frequently”

Make decisions “much faster” than market peers

Execute decisions as intended “most of the time”

Daily Production Variance

Well Type Curve Analysis

Corvelle Drives Concepts to Completion How Project Management is Shaping the Future Of Visual...

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